AI Engineering
The operational disciplines around running AI in production — observability, cost, latency, rollout
AI Engineering
What "shipping AI" looks like once the prototype works: instrumenting a non-deterministic system, controlling per-call cost, getting the latency down to something users will sit through, and rolling new prompts and models out without blowing up live traffic.